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Record W4295083531 · doi:10.1186/s12889-022-14058-z

Youth voices and experiences regarding a school-based cognitive behavioral therapy skills intervention: lessons for future engagement and adaptation

2022· article· en· W4295083531 on OpenAlexafffundabout
Paula Klim-Conforti, Anthony Levitt, Amy Cheung, Raisa Loureiro, Mark Fefergrad, Ayal Schaffer, Thomas Niederkrotenthaler, Mark Sinyor, Juveria Zaheer

Bibliographic record

VenueBMC Public Health · 2022
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsCentre for Addiction and Mental HealthSunnybrook Health Science CentreCanada Research ChairsGovernment of OntarioHealth Sciences CentreUniversity of Toronto
FundersOntario Ministry of Research and InnovationDepartment of Psychiatry, University of TorontoUniversity of Toronto
KeywordsBiostatisticsMedicineIntervention (counseling)Public healthAdaptation (eye)CognitionCognitive behavioral therapyCognitive therapyMedical educationClinical psychologyNursingPsychiatryPsychology

Abstract

fetched live from OpenAlex

BACKGROUND: The Cognitive Behavioral Therapy Skills Intervention (or CBTSI) aims to build mental health literacy and knowledge, allowing youth to build resilience and improve mental health broadly. In Ontario, Canada, youth voice is scant and European studies have largely reported on youth factors supporting stigma reduction, help-seeking intentions and overall satisfaction with a given intervention. Process evaluations and implementation that underpin what youth require to embrace mental health literacy interventions, particularly those that embed key learning principles in the everyday curriculum, have not been broached. The goal of this study is to understand both barriers and facilitators to engagement with the CBTSI (an intervention novel in itself because of the combined mental health plus cognitive behavior therapy (CBT) skills principles embedded in literacy) and the resources and structures that students report requiring, to fully engage with such an intervention. METHODS: Student focus groups were conducted utilizing qualitative interviews that were analyzed thematically. Analysis was informed using principles of pragmatism and analyzed inductively using thematic analysis (Braun and Clarke, Qual Res Psychol 3:77-101, 2006), first looking at the whole and then coding for themes, within an interpretivist framework. Youth were in middle school (grade 7 and 8) in Toronto, Canada who had received the CBTSI. Face to face interview guides with iterative questioning were conducted in February of 2020, and these interviews were audio-recorded and professionally transcribed. Teachers randomly chose a subset of youth whose parents consented to the research to ensure ethno-racial similarity to classroom demographics. RESULTS: There were eight groups with sixty students who participated. Students were 12 to 14 years of age. Major themes were identified: maximizing the opportunities for involvement and self-determination created an atmosphere where confidence and self-compassion could flourish, signalling to the students that they understood and were able to deploy the strategies they were taught; students expressed that the intervention needs to be adapted to enhance personal dignity, respecting both individual wishes and goals in light of the variability in student reported mental health. A model explains the structures and adaptations required to maximize learning based on youth feedback. INTERPRETATION: Mental health literacy incorporating CBT is a promising population-based health promotion intervention. Future adaptations and implementation decisions regarding the CBTSI need to address the wishes and experiences of these youth. Youth voice in this study explored factors that prevent and promote the uptake of the key lessons within the context of existing variability in student mental health that is often found within the context of a regular classroom. The results should be used to adapt the CBTSI as it is disseminated more broadly.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0070.004
Scholarly communication0.0050.005
Open science0.0030.007
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.219
GPT teacher head0.461
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2022
Admission routes3
Has abstractyes

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